In 'big bang' major incidents do triage tools accurately predict clinical priority?: A systematic review of the literature

Introduction: The term "big bang" major incidents is used to describe sudden, usually traumatic, catastrophic events, involving relatively large numbers of injured individuals, where demands on clinical services rapidly outstrip the available resources. Triage tools support the pre-hospital provider to prioritise which patients to treat and/or transport first based upon clinical need. The aim of this review is to identify existing triage tools and to determine the extent to which their reliability and validity have been assessed. Methods: A systematic review of the literature was conducted to identify and evaluate published data validating the efficacy of the triage tools. Studies using data from trauma patients that report on the derivation, validation and/or reliability of the specific pre-hospital triage tools were eligible for inclusion. Purely descriptive studies, reviews, exercises or reports (without supporting data) were excluded. Results: The search yielded 1982 papers. After initial scrutiny of title and abstract, 181 papers were deemed potentially applicable and from these 11 were identified as relevant to this review (in first figure). There were two level of evidence one studies, three level of evidence two studies and six level of evidence three studies. The two level of evidence one studies were prospective validations of Clinical Decision Rules (CDR's) in children in South Africa, all the other studies were retrospective CDR derivation, validation or cohort studies. The quality of the papers was rated as good (n = 3), fair (n = 7), poor (n = 1). Conclusion: There is limited evidence for the validity of existing triage tools in big bang major incidents. Where evidence does exist it focuses on sensitivity and specificity in relation to prediction of trauma death or severity of injury based on data from single or small number patient incidents. The Sacco system is unique in combining survivability modelling with the degree by which the system is overwhelmed in the triage decision system. The practicalities, training implications, performance characteristics and reliance on computer technology during a mass casualty incident require further evaluation. (C) 2010 Elsevier Ltd. All rights reserved.